#!/usr/bin/env python3

# Copyright 2015  Minhua Wu
# Apache 2.0

# convert acronyms in swbd transcript to fisher convention
# according to first two columns in the input acronyms mapping

import argparse
import re

__author__ = "Minhua Wu"

parser = argparse.ArgumentParser(description="format acronyms to a._b._c.")
parser.add_argument("-i", "--input", help="Input transcripts", required=True)
parser.add_argument("-o", "--output", help="Output transcripts", required=True)
parser.add_argument("-M", "--Map", help="Input acronyms mapping", required=True)
args = parser.parse_args()

fin_map = open(args.Map, "r")
dict_acronym = {}
dict_acronym_noi = {}  # Mapping of acronyms without I, i
for pair in fin_map:
    items = pair.split("\t")
    dict_acronym[items[0]] = items[1].strip()
    dict_acronym_noi[items[0]] = items[1].strip()
fin_map.close()
del dict_acronym_noi["i"]
del dict_acronym_noi["I"]

fin_trans = open(args.input, "r")
fout_trans = open(args.output, "w")
for line in fin_trans:
    line = line.strip()
    items = line.split()
    L = len(items)
    # First pass mapping to map I as part of acronym
    for i in range(L):
        if items[i] == "i":
            x = 0
            while i - 1 - x >= 0 and re.match(r"^[A-Z]$", items[i - 1 - x]):
                x += 1

            y = 0
            while i + 1 + y < L and re.match(r"^[A-Z]$", items[i + 1 + y]):
                y += 1

            if x + y > 0:
                for bias in range(-x, y + 1):
                    items[i + bias] = dict_acronym[items[i + bias]]

    # Second pass mapping (not mapping 'i' and 'I')
    for i in range(len(items)):
        if items[i] in dict_acronym_noi.keys():
            items[i] = dict_acronym_noi[items[i]]
    sentence = " ".join(items[1:])
    fout_trans.write(items[0] + " " + sentence.lower() + "\n")

fin_trans.close()
fout_trans.close()
